Table 1.

Probit/log-skew normal model for weekly LRT scores. Parameter estimates (standard errors) n= 190.

	Final Model (LRT)
	probit	log-skew-normal
β0	-0.635(0.285)**	0.298(0.263)
βasthamatic	0.598(0.104)***	0.096(0.089)
βmale	0.024(0.078)	-0.129(0.076)*
βage	-0.027(0.031)	6.2e-3(0.028)
βweek	-0.050(0.005)***	-3.0e-3(0.008)
βweek*week	8.5e-4(0.9e-4) ***	3.5e-4(1.0e-4)***
βvirus	2.459(0.126)***	0.744(0.057)***
βage*week	-	-2.0e-3(0.7e-3)***
βasthamatic*week	-6.4e-3(2.6e-3)**	-
σ		0.666(0.049)***
δ		-0.952(0.100)***
s11	1.023(0.183)***
s22		0.214(0.041)***
s21		0.267(0.077)***
-2 Log Likelihood	14056
AIC	14098
BIC	14166
* p-value < 0.10	** p-value < 0.05	*** p-value < 0.01